When XPENG invited me to Munich for the global debut of the L03, I expected to see another electric SUV launch. Instead, I found myself looking at a company trying to redefine what a car can be, with AI-powered vehicles, robots, robotaxis, and flying machines all part of the same plan.

With crossovers dominating the market, it's easy to overlook the advantages that a traditional family sedan still offers. For buyers who prioritize comfort, fuel economy, and long-distance refinement, a well-executed hybrid sedan can often deliver a better ownership experience while costing less to buy and run.

Large language models (LLMs) might be the most accessible and flexible technology we've ever had access to. By default, they're presented as chatbots—but that's just one way to interact with them. With the right prompts, you can transform an LLM into something that behaves like an entirely different app, complete with its own custom interface.

There are hundreds of productivity apps out there, and I think that's part of the problem. A productivity app is just a system—a means to an end, not the end itself. If any of these apps actually delivered, we wouldn't need hundreds of them. The sheer number suggests something fundamental is missing, which is why people keep hopping between them, hoping the next one will finally be the answer. I was one of those people, and I'm happy to say I've finally figured it out—and it has nothing to do with apps or any digital product at all.

The more comfortable I get using AI to help me code, the more curious I become about how the major platforms compare when they're given the exact same job. It's easy to ask Claude, ChatGPT, or Gemini to create a simple app and come away impressed when something functional appears a few seconds later. But that doesn't necessarily tell you whether the code is secure, well structured, or capable of handling situations beyond the most obvious use case.

Are you deeply invested in the Google ecosystem? Do you actively use Google Keep, Tasks, Calendar, and Drive in your day-to-day life? Individually, each of these is an excellent tool—minimal by design but solid in functionality. The only problem is that these apps are mostly isolated from one another. But if you add Gemini as an orchestration layer, all of these tools can start talking to each other. That's exactly what I did, effectively turning Gemini into my personal project management system.

Summer is the perfect season for outdoor fun, especially if you have a pool and plan on hosting friends and family. This year, entertaining feels even grander with the FIFA World Cup happening alongside classic backyard barbecues. While you're busy preparing, the last thing you want to worry about is a dirty pool. Luckily, Beatbot has you covered with its smart, hands-free pool maintenance devices, and now many of its top models are discounted during its Backyard Bash Sale. So, you can pick up a robotic pool cleaner more affordably.

Even the sportiest of EVs have struggled to really garner the praise of driving enthusiasts. Creating an electric car that feels fun to drive has proven to be one of the biggest challenges that modern automakers have had to face. One slightly surprising brand has, however, seemingly cracked the code. The Ioniq 5 N is undoubtedly one of the most entertaining cars on the market, electric or not.

When I first installed a local LLM, I expected to use it the same way that I'd been using ChatGPT. It soon became apparent that on my modest hardware, this wasn't going to work. By changing the way I use my local LLMs, they've become much more useful.

AI promises to make tedious work easier, but I wanted to know whether it could deliver in real Excel projects. Rather than asking Claude for formulas or snippets of code, I tested whether it could handle three types of automation: creating a workbook from scratch, building a reusable reporting system, and developing a tool that analyzes existing spreadsheets. The goal was to see how much of the work Claude could handle and where I would still need to step in.

Popular AI chatbots such as Claude, Gemini, and ChatGPT can analyze data from spreadsheets and other uploaded files. You can upload spreadsheets and ask them to create summaries, find patterns, and more. I wanted to use ChatGPT to analyze my spending to see if it could find ways to save money, but I didn't want to upload my personal information to the cloud. Using a PII-detection tool and a local LLM, I was able to strip away the personal information before I uploaded my files.

I use local LLMs for multiple purposes, including stripping personal information from documents before I upload them to Claude or ChatGPT and generating a daily RSS digest for my Kindle. Despite the slow performance of even the smaller LLMs on my hardware, I use them for a number of things in my smart home.